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Gradient
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311	ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION Liang Lu1 , Xingxing Zhang2 , and Steve Renals1 1 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:21:18 Artificial neural networks Computational neuroscience Computational linguistics Artificial intelligence Computational statistics Recurrent neural network Speech recognition Neural machine translation Long short-term memory Language model Convolutional neural network Vanishing gradient problem
312	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt , Matthew D. Hoffman , David M. Blei 1 2 Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2016-06-23 13:49:43 Estimation theory Statistical theory Econometrics M-estimators Stochastic processes Loss function OrnsteinUhlenbeck process Stochastic gradient descent Likelihood function
313	Finite-frequency tomography using adjoint methods—Methodology and examples using membrane surface waves Geophysical Journal International, 2007, v. 168, p. 1105–1129 Carl Tape, Qinya Liu, and Jeroen Tromp Add to Reading List Source URL: www.giseis.alaska.edu Language: English - Date: 2009-03-20 02:44:35 Geophysical imaging Seismic tomography Structure of the Earth Inverse problem Tomography Hessian matrix Mathematical optimization Matrix Gradient method
314	Chapter 4 O verf itt ing Avoi dance i n Regressi on Trees This chapter describes several approaches that try to avoid overfitting of the training data with too complex trees. In the context of tree-based models these str Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Decision trees Pruning Decision tree learning Regression analysis Gradient boosting
315	NAF_LOGO_wTagline_Gradient_FINAL_01152015_v2 Add to Reading List Source URL: mis.naf.org Language: English - Date: 2015-10-01 14:39:01 NAF Academy of Engineering Sanford I. Weill Lenovo Academy of Finance
316	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine
317	GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results Philip S. Thomas School of Computer Science, University of Massachusetts, Amherst, MAUSA Add to Reading List Source URL: psthomas.com Language: English - Date: 2014-06-29 23:37:30 Differential geometry Fourier analysis Multivariable calculus Gradient descent Metric tensor Multiplier Directional derivative Mathematical optimization Fisher information
318	Spectral Graph Theory Lecture 19 Preconditioning Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-08-17 14:43:26 Matrix theory Matrices Linear algebra Numerical linear algebra Mathematical physics Preconditioner Eigenvalues and eigenvectors Conjugate gradient method Diagonalizable matrix Matrix Trace Laplacian matrix
319	A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 Wojciech Kotłowski1 Roman Słowiński1,2 Institute of Computing Science, Poznań University of Technology, Poznań, Poland Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Ensemble learning Gradient boosting Generalized functions Distribution Loss function Mathematical optimization Gradient descent Expected value Linear least squares Dirac delta function
320	Rectified Factor Networks Supplement Djork-Arn´e Clevert, Andreas Mayr, Thomas Unterthiner and Sepp Hochreiter Institute of Bioinformatics, Johannes Kepler University, Linz, Austria {okko,mayr,unterthiner,hochreit}@bioi Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-02 09:40:10 Linear algebra Functional analysis Projection Mathematical optimization Expectationmaximization algorithm Gradient descent Matrix

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